Applications of Machine Learning in Subsurface Reservoir Simulation—A Review—Part II
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- Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
- Fan, Dongyan & Sun, Hai & Yao, Jun & Zhang, Kai & Yan, Xia & Sun, Zhixue, 2021. "Well production forecasting based on ARIMA-LSTM model considering manual operations," Energy, Elsevier, vol. 220(C).
- Anna Samnioti & Vassiliki Anastasiadou & Vassilis Gaganis, 2022. "Application of Machine Learning to Accelerate Gas Condensate Reservoir Simulation," Clean Technol., MDPI, vol. 4(1), pages 1-21, March.
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- Eirini Maria Kanakaki & Anna Samnioti & Evangelia Koffa & Irene Dimitrellou & Ivan Obetzanov & Yannis Tsiantis & Paschalia Kiomourtzi & Vassilis Gaganis & Sofia Stamataki, 2023. "Prospects of an Acid Gas Re-Injection Process into a Mature Reservoir," Energies, MDPI, vol. 16(24), pages 1-27, December.
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Keywords
review; machine learning; reservoir simulation; history matching; production optimization; production forecast;All these keywords.
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